Cabinet X-ray Color Mapping for Breast Tissue Density
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Solution Overview
Problem
Conventional breast specimen systems face limitations in detecting abnormalities due to the presence of dense fibroglandular tissue, which reduces the conspicuity of breast cancer and often leads to missed diagnoses, as they only display radiograms in grayscale, making it difficult to differentiate densities.
Innovation Solution
A system and method that utilize a cabinet X-ray unit to capture and display X-ray images in colors representing different densities, allowing for the simultaneous capture and display of X-ray and optical images, enabling better differentiation of tissue densities and aiding in the confirmation of specimen orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional grayscale display is used for X-ray radiograms, then the system structure remains simple, but the ability to differentiate tissue densities is insufficient
Solution Approach 1:
The patent applies color mapping to represent different X-ray absorption densities in breast tissue specimens. By assigning specific colors to different density ranges (e.g., bone density, soft tissue density, fat density), the system enables visual differentiation of tissue types that appear similar in grayscale images, directly resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The system transforms the single-parameter grayscale intensity representation into a multi-parameter color space representation. By mapping X-ray attenuation coefficients to color values (hue, saturation, brightness), the system enhances density differentiation capability while maintaining relatively simple hardware architecture
2Measurement precision
If multiple X-ray images at different energies are captured and processed, then material discrimination capability is improved, but the time required for image acquisition and processing increases
Solution Approach 1:
The patent implements preliminary energy filtering in the X-ray beam path using metal foils (such as copper or aluminum) with specific thicknesses. This preliminary action creates distinct energy spectra that pass through the breast specimen, enabling material discrimination based on differential absorption characteristics. By pre-configuring the energy filters, the system avoids the need for complex real-time energy modulation during image acquisition, thus reducing time loss
Solution Approach 2:
The system segments the X-ray energy spectrum into multiple discrete energy bands using physical filters. Each energy band provides complementary information about different materials in the specimen. This segmentation approach allows parallel acquisition of multiple energy images without sequential processing delays, improving material discrimination while minimizing time loss
3Loss of information
If color mapping is applied to represent different densities, then visual differentiation of tissue types is improved, but the complexity of image processing software increases
Solution Approach 1:
The patent implements a color lookup table (LUT) based mapping system that converts grayscale X-ray attenuation values to color representations. By using pre-defined color palettes associated with specific density ranges, the system preserves all tissue density information while providing intuitive visual differentiation. This approach minimizes software complexity by using straightforward lookup operations rather than complex algorithms
Solution Approach 2:
The system creates a color-coded copy of the grayscale radiogram where each pixel's intensity value is mapped to a corresponding color value. This copying process preserves the original density information structure while adding visual dimensionality for easier interpretation. The software implementation uses simple pixel-wise transformation, avoiding complex processing requirements
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the ability to distinguish different materials and densities in breast tissue specimens, improving diagnostic accuracy and reducing the likelihood of missed breast cancer diagnoses by providing a more detailed and intuitive visual representation of tissue density.
Implementation Method 1
an X-ray source, an X-ray detector
Data Source
AI summary
A cabinet X-ray image system for obtaining X-ray images and colorized or grey scale density X-ray images of a specimen includes a sampling chamber for containing the specimen, a display, an X-ray system including, an X-ray source, a photon counting X-ray detector, and a specimen platform, and a controller configured to selectively energize the X-ray source, control the photon counting X-ray detector to collect a projection X-ray image of the specimen when the X-ray source is energized, determine the density of different areas of the specimen from data collected from the photon counting X-ray detector of the projection X-ray image, create a density X-ray image of the specimen wherein different areas of the specimen are indicated as a density or range of densities based on the determined density of different areas of the specimen, and selectively display the density X-ray image of the specimen on the display.